1344 search results - page 28 / 269 » Learning Classifiers from Semantically Heterogeneous Data |
KDD
1995
ACM
13 years 11 months ago
1995
ACM
Random errors and insufficiencies in databases limit the performance of any classifier trained from and applied to the database. In this paper we propose a method to estimate the ...
ISMB
1993
13 years 8 months ago
1993
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
Numerous statistical learning methods have been developed for visual recognition tasks. Few attempts, however, have been made to address theoretical issues, and in particular, stud...
ECAI
2006
Springer
13 years 11 months ago
2006
Springer
We present a learning algorithm for nominal data. It builds a classifier by adding iteratively a simple patch function that modifies the current classifier. Its main advantage lies...
FLAIRS
2007
13 years 10 months ago
2007
Many real-world domains present the problem of imbalanced data sets, where examples of one classes significantly outnumber examples of other classes. This makes learning difficu...